Implementing Direct and Sequential Access to Data Collections using Aspects

Intelligent Access to Large Collections of Amorphous Data

Approximate matching may be applied to address one of the most challenging problems of modern information technology how to extract meaning from large collections of data. By collecting similar codewords through the assignment of common hash indices, the suggested technique provides an extremely efficient clustering procedure. Leveraging this highly efficient technique shifts the problem of mea...

Implementing digital folklore collections

In this paper, we present a metadata model to describe the digitized digital folklore collection of the Department of Greek Studies in the University of Athens. Folklore collection consists of different kinds of digitized material. The volume and the variety of material results to collection representation as a hierarchical structure, according to the type of objects, the corresponding chronolo...

Personalizing Access to Cultural Heritage Collections using Pathways

This paper discusses mechanisms for personalizing access to cultural heritage collections and suggests that paths or trails are a flexible and powerful model for this and could link with existing models of cognitive information behaviour. We also describe a European project called PATHS (Personalized Access To cultural Heritage Spaces) that aims to support information exploration and discovery ...

Interactive access to large image collections using similarity-based visualization

Image collections are getting larger and larger. To access those collections, systems for managing, searching, and browsing are necessary. Visualization plays an essential role in such systems. Existing visualization systems do not analyze all the problems occurring when dealing with large visual collections. In this paper, we make these problems explicit. From there, we establish three general...

Implementing Visual Analytics Methods for Massive Collections of Movement Data